Natural Language Processing in Artificial Intelligence

This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages.

Key features:

[*]Addresses the functional frameworks and workflow that are trending in NLP and AI
[*]Looks at the latest technologies and the major challenges, issues, and advances in NLP and AI
[*]Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world
[*]Discusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.

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